LEADER 02876nam 2200637 a 450 001 9910437869903321 005 20200520144314.0 010 $a1-283-64035-X 010 $a1-4614-5453-0 024 7 $a10.1007/978-1-4614-5453-3 035 $a(CKB)3400000000085985 035 $a(EBL)1030498 035 $a(OCoLC)811139647 035 $a(SSID)ssj0000767108 035 $a(PQKBManifestationID)11511285 035 $a(PQKBTitleCode)TC0000767108 035 $a(PQKBWorkID)10739985 035 $a(PQKB)10019593 035 $a(DE-He213)978-1-4614-5453-3 035 $a(MiAaPQ)EBC1030498 035 $a(PPN)168303078 035 $a(EXLCZ)993400000000085985 100 $a20120814d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultivariate statistical quality control using R /$fEdgar Santos-Fernandez 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2012 215 $a1 online resource (133 p.) 225 0$aSpringerBriefs in statistics,$x2191-544X 300 $aDescription based upon print version of record. 311 $a1-4614-5452-2 320 $aIncludes bibliographical references and index. 327 $aAn introduction to R -- Basic Statistical and SQC Procedures -- Multivariate Control Charts -- Multivariate Process Capability -- Multivariate tools of support for MSQC -- Appendix -- Index -- Problem -- Solutions. 330 $aThe intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis.  These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two  parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices. . 410 0$aSpringerBriefs in Statistics,$x2191-544X ;$v14 606 $aQuality control$xStatistical methods 606 $aMultivariate analysis 606 $aR (Computer program language) 615 0$aQuality control$xStatistical methods. 615 0$aMultivariate analysis. 615 0$aR (Computer program language) 676 $a658.5 676 $a658.5/62 676 $a658.562 700 $aSantos-Fernandez$b Edgar$01059539 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437869903321 996 $aMultivariate Statistical Quality Control Using R$92506818 997 $aUNINA